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"""This package options includes option modules: training options, test options, and basic options (used in both training and test)."""
from argparse import ArgumentParser as AP
from .train_options import TrainOptions
from .log_options import LogOptions
from networks import get_model_options
from data import get_dataset_options
import munch
def get_options(cmdline_opt):
bo = munch.Munch()
# Set the number of channels of input image
# Set the number of channels of output image
bo.input_nc = 3
bo.output_nc = 3
bo.gpu_ids = cmdline_opt.gpus
# Dataset options
bo.dataroot = cmdline_opt.path_data
bo.dataset_mode = cmdline_opt.data_importer
bo.model = cmdline_opt.model
# Scheduling policies
bo.lr = cmdline_opt.learning_rate
bo.lr_policy = cmdline_opt.scheduler_policy
bo.decay_iters_step = cmdline_opt.decay_iters_step
bo.decay_step_gamma = cmdline_opt.decay_step_gamma
opts = []
opts.append(get_model_options(bo.model)())
opts.append(get_dataset_options(bo.dataset_mode)())
opts.append(LogOptions())
opts.append(TrainOptions())
# Checks for Nones
opts = [x for x in opts if x]
for x in opts:
bo.update(x)
return bo
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